Anjie Fang

According to our database, Anjie Fang authored at least 26 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

HTEC: Human Transcription Error Correction.

Hanbo Sun, Jian Gao, Xiaomin Wu, Anjie Fang, Cheng Cao, Zheng Du

CoRR, 2023

Composing Spoken Hints for Follow-on Question Suggestion in Voice Assistants.

Pedro Faustini, Besnik Fetahu, Giuseppe Castellucci, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Follow-on Question Suggestion via Voice Hints for Voice Assistants.

Besnik Fetahu, Pedro Faustini, Anjie Fang, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

CycleNER: An Unsupervised Training Approach for Named Entity Recognition.

Andrea Iovine, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER).

Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition.

Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting.

Andrea Iovine, Anjie Fang, Besnik Fetahu, Jie Zhao, Oleg Rokhlenko, Shervin Malmasi

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

Reinforced Question Rewriting for Conversational Question Answering.

Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition.

Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Implementation and Analytics of the Distributed Eco-Driving Simulation iCO₂.

Bernd Hollerit, Helmut Prendinger, Raghvendra Jain, Daniela Fontes, Henrique Campos, Hugo Damas, Anjie Fang, Rui Prada, Marc Cavazza

IEEE Access, 2021

Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries.

Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input.

Tao Meng, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Using Phoneme Representations to Build Predictive Models Robust to ASR Errors.

Anjie Fang, Simone Filice, Nut Limsopatham, Oleg Rokhlenko

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

Analysing political events on Twitter: topic modelling and user community classification.

Anjie Fang

PhD thesis, 2019

Analysing political events on Twitter: topic modelling and user community classification.

Anjie Fang

SIGIR Forum, 2019

Evaluating Similarity Metrics for Latent Twitter Topics.

Xi Wang, Anjie Fang, Iadh Ounis, Craig Macdonald

Proceedings of the Advances in Information Retrieval, 2019

2018

On the Reproducibility and Generalisation of the Linear Transformation of Word Embeddings.

Xiao Yang, Iadh Ounis, Richard McCreadie, Craig Macdonald, Anjie Fang

Proceedings of the Advances in Information Retrieval, 2018

On Refining Twitter Lists as Ground Truth Data for Multi-community User Classification.

Ting Su, Anjie Fang, Richard McCreadie, Craig Macdonald, Iadh Ounis

Proceedings of the Advances in Information Retrieval, 2018

An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter.

Anjie Fang, Iadh Ounis, Craig MacDonald, Philip Habel, Xiaoyu Xiong, Haitao Yu

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Examining Information on Social Media: Topic Modelling, Trend Prediction and Community Classification.

Anjie Fang

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Exploring Time-Sensitive Variational Bayesian Inference LDA for Social Media Data.

Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel, Xiao Yang

Proceedings of the Advances in Information Retrieval, 2017

2016

Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data.

Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Examining the Coherence of the Top Ranked Tweet Topics.

Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Topics in Tweets: A User Study of Topic Coherence Metrics for Twitter Data.

Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel

Proceedings of the Advances in Information Retrieval, 2016

2015

Topic-centric Classification of Twitter User's Political Orientation.

Anjie Fang, Iadh Ounis, Philip Habel, Craig Macdonald, Nut Limsopatham

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

2014

Accurate Household Occupant Behavior Modeling Based on Data Mining Techniques.

Márcia Baptista, Anjie Fang, Helmut Prendinger, Rui Prada, Yohei Yamaguchi

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014