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.
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.
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.