Barbara Plank

Orcid: 0000-0002-4394-1965

Affiliations:
  • LMU Munich, Germany
  • IT University of Copenhagen, Denmark


According to our database1, Barbara Plank authored at least 184 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation.
CoRR, 2024

Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies between Model Predictions and Human Responses in VQA.
CoRR, 2024

Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models.
CoRR, 2024

MultiClimate: Multimodal Stance Detection on Climate Change Videos.
CoRR, 2024

Exploring Large Language Models for Product Attribute Value Identification.
CoRR, 2024

Behavioral Testing: Can Large Language Models Implicitly Resolve Ambiguous Entities?
CoRR, 2024

An Empirical Comparison of Generative Approaches for Product Attribute-Value Identification.
CoRR, 2024

LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks.
CoRR, 2024

CLIMATELI: Evaluating Entity Linking on Climate Change Data.
CoRR, 2024

FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Models.
CoRR, 2024

The Call for Socially Aware Language Technologies.
CoRR, 2024

Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think.
CoRR, 2024

Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models - A Survey.
CoRR, 2024

MaiBaam Annotation Guidelines.
CoRR, 2024

The Science of Data Collection: Insights from Surveys can Improve Machine Learning Models.
CoRR, 2024

What Do Dialect Speakers Want? A Survey of Attitudes Towards Language Technology for German Dialects.
CoRR, 2024

Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings.
CoRR, 2024

EEVEE: An Easy Annotation Tool for Natural Language Processing.
CoRR, 2024

Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations.
CoRR, 2024

What's wrong with your model? A Quantitative Analysis of Relation Classification.
Proceedings of the 13th Joint Conference on Lexical and Computational Semantics, 2024

MaiNLP at SemEval-2024 Task 1: Analyzing Source Language Selection in Cross-Lingual Textual Relatedness.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Position: Insights from Survey Methodology can Improve Training Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

To Know or Not To Know? Analyzing Self-Consistency of Large Language Models under Ambiguity.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

"Seeing the Big through the Small": Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Entity Linking in the Job Market Domain.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

NNOSE: Nearest Neighbor Occupational Skill Extraction.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Slot and Intent Detection Resources for Bavarian and Lithuanian: Assessing Translations vs Natural Queries to Digital Assistants.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal Data.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

IndirectQA: Understanding Indirect Answers to Implicit Polar Questions in French and Spanish.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

MaiBaam: A Multi-Dialectal Bavarian Universal Dependency Treebank.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

How to Encode Domain Information in Relation Classification.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

VariErr NLI: Separating Annotation Error from Human Label Variation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

"My Answer is C": First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark.
CoRR, 2023

LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation.
CoRR, 2023

Donkii: Can Annotation Error Detection Methods Find Errors in Instruction-Tuning Datasets?
CoRR, 2023

Uncertainty in Natural Language Generation: From Theory to Applications.
CoRR, 2023

Does Manipulating Tokenization Aid Cross-Lingual Transfer? A Study on POS Tagging for Non-Standardized Languages.
Proceedings of the Tenth Workshop on NLP for Similar Languages, Varieties and Dialects, 2023

Findings of the VarDial Evaluation Campaign 2023.
Proceedings of the Tenth Workshop on NLP for Similar Languages, Varieties and Dialects, 2023

SemEval-2023 Task 11: Learning with Disagreements (LeWiDi).
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

A Survey of Corpora for Germanic Low-Resource Languages and Dialects.
Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction.
Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

Low-resource Bilingual Dialect Lexicon Induction with Large Language Models.
Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Establishing Trustworthiness: Rethinking Tasks and Model Evaluation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

ActiveAED: A Human in the Loop Improves Annotation Error Detection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation Objectives.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Silver Syntax Pre-training for Cross-Domain Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning.
J. Artif. Intell. Res., 2022

Evidence > Intuition: Transferability Estimation for Encoder Selection.
CoRR, 2022

Experimental Standards for Deep Learning Research: A Natural Language Processing Perspective.
CoRR, 2022

Sliced at SemEval-2022 Task 11: Bigger, Better? Massively Multilingual LMs for Multilingual Complex NER on an Academic GPU Budget.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

SkillSpan: Hard and Soft Skill Extraction from English Job Postings.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Sort by Structure: Language Model Ranking as Dependency Probing.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Fine-tuning vs From Scratch: Do Vision & Language Models Have Similar Capabilities on Out-of-Distribution Visual Question Answering?
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Frustratingly Easy Performance Improvements for Low-resource Setups: A Tale on BERT and Segment Embeddings.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Skill Extraction from Job Postings using Weak Supervision.
Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

Experimental Standards for Deep Learning in Natural Language Processing Research.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

The "Problem" of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Spectral Probing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CrossRE: A Cross-Domain Dataset for Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Evidence \textgreater Intuition: Transferability Estimation for Encoder Selection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Stop Measuring Calibration When Humans Disagree.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On Language Spaces, Scales and Cross-Lingual Transfer of UD Parsers.
Proceedings of the 26th Conference on Computational Natural Language Learning, 2022

An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position Paper.
Proceedings of the IEEE Evaluation and Beyond, 2022

Probing for Labeled Dependency Trees.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

What Do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022

Longitudinal Citation Prediction using Temporal Graph Neural Networks.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

2021

Learning from Disagreement: A Survey.
J. Artif. Intell. Res., 2021

How Universal is Genre in Universal Dependencies?
CoRR, 2021

Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL).
CoRR, 2021

On the Effectiveness of Dataset Embeddings in Mono-lingual, Multi-lingual and Zero-shot Conditions.
CoRR, 2021

SemEval-2021 Task 12: Learning with Disagreements.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

De-identification of Privacy-related Entities in Job Postings.
Proceedings of the 23rd Nordic Conference on Computational Linguistics, 2021

From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Cartography Active Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Genre as Weak Supervision for Cross-lingual Dependency Parsing.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

Finding the needle in a haystack: Extraction of Informative COVID-19 Danish Tweets.
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

Cross-Lingual Cross-Domain Nested Named Entity Evaluation on English Web Texts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP.
CoRR, 2020

Team DiSaster at SemEval-2020 Task 11: Combining BERT and Hand-crafted Features for Identifying Propaganda Techniques in News.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Buhscitu at SemEval-2020 Task 7: Assessing Humour in Edited News Headlines Using Hand-Crafted Features and Online Knowledge Bases.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Cross-Domain Evaluation of Edge Detection for Biomedical Event Extraction.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

FT Speech: Danish Parliament Speech Corpus.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

A Case for Soft Loss Functions.
Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing, 2020

Biomedical Event Extraction as Sequence Labeling.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Neural Unsupervised Domain Adaptation in NLP - A Survey.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

DaN+: Danish Nested Named Entities and Lexical Normalization.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

NLP North at WNUT-2020 Task 2: Pre-training versus Ensembling for Detection of Informative COVID-19 English Tweets.
Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

2019
CiteTracked: A Longitudinal Dataset of Peer Reviews and Citations.
Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019) co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), 2019

MoRTy: Unsupervised Learning of Task-specialized Word Embeddings by Autoencoding.
Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

Lexical Resources for Low-Resource PoS Tagging in Neural Times.
Proceedings of the 22nd Nordic Conference on Computational Linguistics, NoDaLiDa 2019, Turku, Finland, September 30, 2019

Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in Danish.
Proceedings of the 22nd Nordic Conference on Computational Linguistics, NoDaLiDa 2019, Turku, Finland, September 30, 2019

The Lacunae of Danish Natural Language Processing.
Proceedings of the 22nd Nordic Conference on Computational Linguistics, NoDaLiDa 2019, Turku, Finland, September 30, 2019

Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Measuring Catastrophic Forgetting in Visual Question Answering.
Proceedings of the Increasing Naturalness and Flexibility in Spoken Dialogue Interaction, 2019

At a Glance: The Impact of Gaze Aggregation Views on Syntactic Tagging.
Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world kNowledge, 2019

Psycholinguistics Meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging.
CoRR, 2018

When Simple n-gram Models Outperform Syntactic Approaches: Discriminating between Dutch and Flemish.
Proceedings of the Fifth Workshop on NLP for Similar Languages, Varieties and Dialects, 2018

Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Grotoco@SLAM: Second Language Acquisition Modeling with Simple Features, Learners and Task-wise Models.
Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications@NAACL-HLT 2018, 2018

Strong Baselines for Neural Semi-Supervised Learning under Domain Shift.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Bleaching Text: Abstract Features for Cross-lingual Gender Prediction.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Predicting Authorship and Author Traits from Keystroke Dynamics.
Proceedings of the Second Workshop on Computational Modeling of People's Opinions, 2018

Character-level Supervision for Low-resource POS Tagging.
Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP, 2018

2017
ALL-IN-1: Short Text Classification with One Model for All Languages.
CoRR, 2017

Sharing Is Caring: The Future of Shared Tasks.
Comput. Linguistics, 2017

When Sparse Traditional Models Outperform Dense Neural Networks: the Curious Case of Discriminating between Similar Languages.
Proceedings of the Fourth Workshop on NLP for Similar Languages, 2017

All-In-1 at IJCNLP-2017 Task 4: Short Text Classification with One Model for All Languages.
Proceedings of the IJCNLP 2017, Shared Tasks, Taipei, Taiwan, November 27, 2017

Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract).
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning to select data for transfer learning with Bayesian Optimization.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Parsing Universal Dependencies without training.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Cross-lingual tagger evaluation without test data.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

When is multitask learning effective? Semantic sequence prediction under varying data conditions.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

The Power of Character N-grams in Native Language Identification.
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, 2017

Neural Networks and Spelling Features for Native Language Identification.
Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, 2017

To normalize, or not to normalize: The impact of normalization on Part-of-Speech tagging.
Proceedings of the 3rd Workshop on Noisy User-generated Text, 2017

2016
TwiSty: a multilingual Twitter Stylometry corpus for gender and personality profiling.
Dataset, March, 2016

Multilingual Projection for Parsing Truly Low-Resource Languages.
Trans. Assoc. Comput. Linguistics, 2016

Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures.
J. Artif. Intell. Res., 2016

Multi-lingual opinion mining on YouTube.
Inf. Process. Manag., 2016

Multitask learning for semantic sequence prediction under varying data conditions.
CoRR, 2016

TwiSty: A Multilingual Twitter Stylometry Corpus for Gender and Personality Profiling.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

What to do about non-standard (or non-canonical) language in NLP.
Proceedings of the 13th Conference on Natural Language Processing, 2016

Keystroke dynamics as signal for shallow syntactic parsing.
Proceedings of the COLING 2016, 2016

Multi-view and multi-task training of RST discourse parsers.
Proceedings of the COLING 2016, 2016

Semantic Tagging with Deep Residual Networks.
Proceedings of the COLING 2016, 2016

When silver glitters more than gold: Bootstrapping an Italian part-of-speech tagger for Twitter.
Proceedings of Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016), 2016

Processing non-canonical or noisy text: fortuitous data to the rescue.
Proceedings of the 2nd Workshop on Noisy User-generated Text, 2016

Supersense tagging with inter-annotator disagreement.
Proceedings of the 10th Linguistic Annotation Workshop held in conjunction with ACL 2016, 2016

LiMoSINe Pipeline: Multilingual UIMA-based NLP Platform.
Proceedings of ACL-2016 System Demonstrations, Berlin, Germany, August 7-12, 2016, 2016

Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Personality Traits on Twitter - or - How to Get 1, 500 Personality Tests in a Week.
Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, 2015

CPH: Sentiment analysis of Figurative Language on Twitter #easypeasy #not.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Active learning for sense annotation.
Proceedings of the 20th Nordic Conference of Computational Linguistics, 2015

Mining for unambiguous instances to adapt part-of-speech taggers to new domains.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Learning to parse with IAA-weighted loss.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Using Knowledge Components for Collaborative Filtering in Adaptive Tutoring Systems.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

Do dependency parsing metrics correlate with human judgments?
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

Non-canonical language is not harder to annotate than canonical language.
Proceedings of The 9th Linguistic Annotation Workshop, 2015

Inverted indexing for cross-lingual NLP.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Using Frame Semantics for Knowledge Extraction from Twitter.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Robust Cross-Domain Sentiment Analysis for Low-Resource Languages.
Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, 2014

More or less supervised supersense tagging of Twitter.
Proceedings of the Third Joint Conference on Lexical and Computational Semantics, 2014

Copenhagen-Malmö: Tree Approximations of Semantic Parsing Problems.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

SenTube: A Corpus for Sentiment Analysis on YouTube Social Media.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

When POS data sets don't add up: Combatting sample bias.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Importance weighting and unsupervised domain adaptation of POS taggers: a negative result.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Learning part-of-speech taggers with inter-annotator agreement loss.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

What's in a p-value in NLP?
Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014

Selection Bias, Label Bias, and Bias in Ground Truth.
Proceedings of the COLING 2014, 2014

Adapting taggers to Twitter with not-so-distant supervision.
Proceedings of the COLING 2014, 2014

Opinion Mining on YouTube.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Linguistically debatable or just plain wrong?
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Experiments with crowdsourced re-annotation of a POS tagging data set.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Supporting Agile Software Development by Natural Language Processing.
Proceedings of the Trustworthy Eternal Systems via Evolving Software, Data and Knowledge, 2012

2011
Experiments in Newswire-to-Law Adaptation of Graph-Based Dependency Parsers.
Proceedings of the Evaluation of Natural Language and Speech Tools for Italian, 2011

Effective Measures of Domain Similarity for Parsing.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

Reversible Stochastic Attribute-Value Grammars.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010
Improved Statistical Measures to Assess Natural Language Parser Performance across Domains.
Proceedings of the International Conference on Language Resources and Evaluation, 2010

2009
Structural Correspondence Learning for Parse Disambiguation.
Proceedings of the EACL 2009, 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Athens, Greece, March 30, 2009

2008
Subdomain Sensitive Statistical Parsing using Raw Corpora.
Proceedings of the International Conference on Language Resources and Evaluation, 2008

Parsing with subdomain instance weighting from raw corpora.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Exploring an Auxiliary Distribution Based Approach to Domain Adaptation of a Syntactic Disambiguation Model.
Proceedings of the workshop on Cross-Framework and Cross-Domain Parser Evaluation@COLING 2008, 2008

2006
Multilingual Search in Libraries. The case-study of the Free University of Bozen-Bolzano.
Proceedings of the Fifth International Conference on Language Resources and Evaluation, 2006


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