no code implementations • LREC 2020 • M, Angrosh ya, James O{'} Neill, Danushka Bollegala, Frans Coenen
The Conversational Question Answering (CoQA) task involves answering a sequence of inter-related conversational questions about a contextual paragraph.
no code implementations • TACL 2020 • Xi (Leslie) Chen, Sarah Ita Levitan, Michelle Levine, M, Marko ic, Julia Hirschberg
We analyzed the acoustic-prosodic and linguistic characteristics of language trusted and mistrusted by raters and compared these to characteristics of actual truthful and deceptive language to understand how perception aligns with reality.
no code implementations • IJCNLP 2019 • Panupong Pasupat, Sonal Gupta, M, Karishma yam, Rushin Shah, Mike Lewis, Luke Zettlemoyer
We propose a semantic parser for parsing compositional utterances into Task Oriented Parse (TOP), a tree representation that has intents and slots as labels of nesting tree nodes.
no code implementations • WS 2018 • M, Soumil al, Karthick Nanmaran
Building tools for code-mixed data is rapidly gaining popularity in the NLP research community as such data is exponentially rising on social media.
no code implementations • CONLL 2018 • Tianfan Fu, Cheng Zhang, M, Stephan t
In this paper, we present an efficient method for including new words from a specialized corpus, containing new words, into pre-trained generic word embeddings.
no code implementations • COLING 2018 • S Modha, ip, Prasenjit Majumder, M, Thomas l
Using the validation data, we found that validation accuracy of our deep learning models outperform all standard machine learning classifiers and voting based ensemble techniques and results on test data support these findings.
no code implementations • WS 2017 • Hussein Ghaly, M, Michael el
Written sentences can be more ambiguous than spoken sentences.
no code implementations • CONLL 2017 • Daniel Zeman, Martin Popel, Milan Straka, Jan Haji{\v{c}}, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie Cinkov{\'a}, Jan Haji{\v{c}} jr., Jaroslava Hlav{\'a}{\v{c}}ov{\'a}, V{\'a}clava Kettnerov{\'a}, Zde{\v{n}}ka Ure{\v{s}}ov{\'a}, Jenna Kanerva, Stina Ojala, Anna Missil{\"a}, Christopher D. Manning, Sebastian Schuster, Siva Reddy, Dima Taji, Nizar Habash, Herman Leung, Marie-Catherine de Marneffe, Manuela Sanguinetti, Maria Simi, Hiroshi Kanayama, Valeria de Paiva, Kira Droganova, H{\'e}ctor Mart{\'\i}nez Alonso, {\c{C}}a{\u{g}}r{\i} {\c{C}}{\"o}ltekin, Umut Sulubacak, Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Georg Rehm, Tolga Kayadelen, Mohammed Attia, Ali Elkahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, M, Michael l, Jesse Kirchner, Hector Fern Alcalde, ez, Jana Strnadov{\'a}, Esha Banerjee, Ruli Manurung, Antonio Stella, Atsuko Shimada, Sookyoung Kwak, Gustavo Mendon{\c{c}}a, L, Tatiana o, Rattima Nitisaroj, Josie Li
The Conference on Computational Natural Language Learning (CoNLL) features a shared task, in which participants train and test their learning systems on the same data sets.
no code implementations • WS 2017 • M, Justina ravickait{\.e}, Tomas Krilavi{\v{c}}ius
We discuss an experiment on automatic identification of bi-gram multi-word expressions in parallel Latvian and Lithuanian corpora.
no code implementations • WS 2017 • M, Justina ravickait{\.e}, Tomas Krilavi{\v{c}}ius
Relation between gender and language has been studied by many authors, however, there is still some uncertainty left regarding gender influence on language usage in the professional environment.
no code implementations • LREC 2012 • Julia Maria Schulz, Daniela Becks, Christa Womser-Hacker, M, Thomas l
In order to extract meaningful phrases from corpora (e. g. in an information retrieval context) intensive knowledge of the domain in question and the respective documents is generally needed.