Search Results for author:
Found 12 papers, 3 papers with code
dhivya-hope-detection@LT-EDI-EACL2021: Multilingual Hope Speech Detection for Code-mixed and Transliterated Texts
In this paper we work with a hope speech detection corpora that includes English, Tamil, and Malayalam datasets.
Tamil Lyrics Corpus: Analysis and Experiments
We present experi- mental results based on the SOTA BERT Tamil models to identify the lyricists of a song.
Interpreting Answers to Yes-No Questions in User-Generated Content
Interpreting answers to yes-no questions in social media is difficult.
An Analysis of Negation in Natural Language Understanding Corpora
This paper analyzes negation in eight popular corpora spanning six natural language understanding tasks.
Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Text
We received 22 systems for Tamil-English, 15 systems for Malayalam-English, and 15 for Kannada-English.
Developing Successful Shared Tasks on Offensive Language Identification for Dravidian Languages
With the fast growth of mobile computing and Web technologies, offensive language has become more prevalent on social networking platforms.
Determining Event Outcomes: The Case of \#fail
This paper targets the task of determining event outcomes in social media.
Beyond Possession Existence: Duration and Co-Possession
This paper introduces two tasks: determining (a) the duration of possession relations and (b) co-possessions, i. e., whether multiple possessors possess a possessee at the same time.
WikiPossessions: Possession Timeline Generation as an Evaluation Benchmark for Machine Reading Comprehension of Long Texts
Specifically, to complete the full TOP task for a given article, a system must do the following: a) identify possessors; b) anchor possessors to times/events; c) identify temporal relations between each temporal anchor and the possession relation it corresponds to; d) assign certainty scores to each possessor and each temporal relation; and e) assemble individual possession events into a global possession timeline.
Extracting Possessions from Social Media: Images Complement Language
This paper describes a new dataset and experiments to determine whether authors of tweets possess the objects they tweet about.
Possessors Change Over Time: A Case Study with Artworks
This paper presents a corpus and experimental results to extract possession relations over time.
Mining Possessions: Existence, Type and Temporal Anchors
This paper presents a corpus and experiments to mine possession relations from text.
