Yufang Hou  Yufang Hou photo         

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Research Staff Member
Ireland Research Lab, Dublin, Ireland
  

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Professional Associations

Professional Associations:  Association for Computational Linguistics

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News

11/2019 We have two papers related to argumentation mining accepted at AAAI 2020. The first one "Corpus wide argument mining - a working solution" is from the debater project claim/evidence detection team. The second one is titled "End-to-End Argumentation Knowledge Graph Construction". This paper is from an intern project that I was leading from last winter till this spring. The first author Khalid Al Khatib received IBM PhD scholarship and did an internship with us. Code and dataset described in the paper will be available soon.

07/2019 We release the datasets and the code for extracting tuples of task, dataset, metric, score from NLP papers [link:science-result-extractor]

05/2019  Our long paper "Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction" got accepted at ACL 2019.

11/2018   I'll attend EMNLP 2018 and present the paper "A deterministic algorithm for bridging anaphora resolution".

10/2018   I gave an invited colloquium talk "Computational Argumentation: A personal Journey" at ICL, Heidelberg University.

10/2018   I gave a tutorial about Anaphora Resolution at DRL AI Seminar.

06/2018   I presented the paper "Enhanced Word Representations for Bridging Anaphora Resolution" at NAACL 2018. The new word embedding resource can be downloanded from here.

03/2018   The article "Unrestricted Bridging Resolution" with Michael Strube and Katja Markert got accepted by Computational Linguistics.

10/2017   I gave a talk "Information Status: Tasks, Datasets and Models" at Dublin NLP meetup.

09/2017   The datasets used in the paper "Argument Relation Classification Using a Joint Inference Model" can be downloaded from here.


About me

My primary research interest lies in the area of natural language processing (NLP) where I focus on the tasks of language understanding in the discourse level, such as information status recognition, indirect anaphora resolution (bridging resolution), context-dependent relation extraction, and text understanding. I'm also interested in computational argumentation and information extraction.

Before joining IBM, I was a Postdoc at the department of Computational Linguistics at Heidelberg University, working with Anette Frank. Before that, I did my PhD at HITS (Heidelberg Institute for Theoretical Studies), working with Michael Strube