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2020 – today
- 2023
[c23]Besnik Fetahu, Pedro Faustini
, Anjie Fang, Giuseppe Castellucci, Oleg Rokhlenko, Shervin Malmasi:
Follow-on Question Suggestion via Voice Hints for Voice Assistants. EMNLP (Findings) 2023: 310-325- [c22]Pedro Faustini, Besnik Fetahu, Giuseppe Castellucci, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi:
Composing Spoken Hints for Follow-on Question Suggestion in Voice Assistants. INTERSPEECH 2023: 3427-3431 - [i4]Hanbo Sun, Jian Gao, Xiaomin Wu, Anjie Fang, Cheng Cao, Zheng Du:
HTEC: Human Transcription Error Correction. CoRR abs/2309.10089 (2023) - [i3]Besnik Fetahu, Pedro Faustini, Giuseppe Castellucci, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi:
Follow-on Question Suggestion via Voice Hints for Voice Assistants. CoRR abs/2310.17034 (2023) - 2022
- [c21]Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko:
MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition. COLING 2022: 3798-3809 - [c20]Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Reinforced Question Rewriting for Conversational Question Answering. EMNLP (Industry Track) 2022: 357-370 - [c19]Andrea Iovine, Anjie Fang, Besnik Fetahu, Jie Zhao, Oleg Rokhlenko, Shervin Malmasi:
CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting. EMNLP 2022: 11875-11886 - [c18]Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi:
Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition. NAACL-HLT 2022: 2777-2790 - [c17]Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko:
SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER). SemEval@NAACL 2022: 1412-1437 - [c16]Andrea Iovine, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
CycleNER: An Unsupervised Training Approach for Named Entity Recognition. WWW 2022: 2916-2924 - [i2]Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko:
MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognition. CoRR abs/2208.14536 (2022) - [i1]Zhiyu Chen, Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi:
Reinforced Question Rewriting for Conversational Question Answering. CoRR abs/2210.15777 (2022) - 2021
- [j2]Bernd Hollerit, Helmut Prendinger, Raghvendra Jain, Daniela Fontes, Henrique Campos, Hugo Damas, Anjie Fang, Rui Prada, Marc Cavazza:
Implementation and Analytics of the Distributed Eco-Driving Simulation iCO2. IEEE Access 9: 36252-36265 (2021) - [c15]Tao Meng, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi:
GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input. NAACL-HLT 2021: 1499-1512 - [c14]Besnik Fetahu, Anjie Fang, Oleg Rokhlenko, Shervin Malmasi:
Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries. SIGIR 2021: 1677-1681 - 2020
- [c13]Anjie Fang, Simone Filice, Nut Limsopatham, Oleg Rokhlenko:
Using Phoneme Representations to Build Predictive Models Robust to ASR Errors. SIGIR 2020: 699-708
2010 – 2019
- 2019
- [b1]Anjie Fang:
Analysing political events on Twitter: topic modelling and user community classification. University of Glasgow, UK, 2019 - [j1]Anjie Fang:
Analysing political events on Twitter: topic modelling and user community classification. SIGIR Forum 53(1): 38-39 (2019) - [c12]Xi Wang, Anjie Fang, Iadh Ounis, Craig Macdonald:
Evaluating Similarity Metrics for Latent Twitter Topics. ECIR (1) 2019: 787-794 - 2018
- [c11]Anjie Fang, Iadh Ounis, Craig MacDonald, Philip Habel, Xiaoyu Xiong, Haitao Yu:
An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter. CIKM 2018: 1547-1550 - [c10]Xiao Yang, Iadh Ounis, Richard McCreadie, Craig Macdonald, Anjie Fang:
On the Reproducibility and Generalisation of the Linear Transformation of Word Embeddings. ECIR 2018: 263-275 - [c9]Ting Su, Anjie Fang, Richard McCreadie, Craig Macdonald, Iadh Ounis:
On Refining Twitter Lists as Ground Truth Data for Multi-community User Classification. ECIR 2018: 765-772 - 2017
- [c8]Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel, Xiao Yang:
Exploring Time-Sensitive Variational Bayesian Inference LDA for Social Media Data. ECIR 2017: 252-265 - [c7]Anjie Fang:
Examining Information on Social Media: Topic Modelling, Trend Prediction and Community Classification. SIGIR 2017: 1377 - 2016
- [c6]Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel:
Topics in Tweets: A User Study of Topic Coherence Metrics for Twitter Data. ECIR 2016: 492-504 - [c5]Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel:
Examining the Coherence of the Top Ranked Tweet Topics. SIGIR 2016: 825-828 - [c4]Anjie Fang, Craig Macdonald, Iadh Ounis, Philip Habel:
Using Word Embedding to Evaluate the Coherence of Topics from Twitter Data. SIGIR 2016: 1057-1060 - 2015
- [c3]Anjie Fang, Iadh Ounis, Philip Habel, Craig MacDonald, Nut Limsopatham:
Topic-centric Classification of Twitter User's Political Orientation. FDIA 2015 - [c2]Anjie Fang, Iadh Ounis, Philip Habel, Craig Macdonald, Nut Limsopatham:
Topic-centric Classification of Twitter User's Political Orientation. SIGIR 2015: 791-794 - 2014
- [c1]Márcia Baptista, Anjie Fang, Helmut Prendinger, Rui Prada, Yohei Yamaguchi:
Accurate Household Occupant Behavior Modeling Based on Data Mining Techniques. AAAI 2014: 1164-1170
Coauthor Index
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