activity
20152022
most citedFine-Grained Spoiler Detection from Large-Scale Review Corpora

15 citations · 19 across the 12 of their papers we have counts for

collaborators

14 papers

cs.CL2022★ 1 cited

Zero-shot Triplet Extraction by Template Infilling

Bosung Kim, Hayate Iso, Nikita Bhutani +3

The task of triplet extraction aims to extract pairs of entities and their corresponding relations from unstructured text. Most existing methods train an extraction model on traini…

cs.CL2022★ 1 cited

Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-Supervision

Khalil Mrini, Harpreet Singh, Franck Dernoncourt +5

Current medical question answering systems have difficulty processing long, detailed and informally worded questions submitted by patients, called Consumer Health Questions (CHQs).…

cs.CL2021

A Grounded Well-being Conversational Agent with Multiple Interaction Modes: Preliminary Results

Xinxin Yan, Ndapa Nakashole

Technologies for enhancing well-being, healthcare vigilance and monitoring are on the rise. However, despite patient interest, such technologies suffer from low adoption. One hypot…

cs.CL2021

Extracting the Unknown from Long Math Problems

Ndapa Nakashole

In problem solving, understanding the problem that one seeks to solve is an essential initial step. In this paper, we propose computational methods for facilitating problem underst…

cs.CL2019

Rethinking Self-Attention: Towards Interpretability in Neural Parsing

Khalil Mrini, Franck Dernoncourt, Quan Tran +3

Attention mechanisms have improved the performance of NLP tasks while allowing models to remain explainable. Self-attention is currently widely used, however interpretability is di…

cs.CL2019★ 15 cited

Fine-Grained Spoiler Detection from Large-Scale Review Corpora

Mengting Wan, Rishabh Misra, Ndapa Nakashole +1

This paper presents computational approaches for automatically detecting critical plot twists in reviews of media products. First, we created a large-scale book review dataset that…

cs.CL2018

Sense Perception Common Sense Relationships

Ndapa Nakashole

Often missing in existing knowledge bases of facts, are relationships that encode common sense knowledge about unnamed entities. In this paper, we propose to extract novel, common…

cs.CL2018

Unnamed Entity Recognition of Sense Mentions

Ndapa Nakashole

We consider the problem of recognizing mentions of human senses in text. Our contribution is a method for acquiring labeled data, and a learning method that is trained on this data…

cs.CL2018

Bilingual Dictionary Induction for Bantu Languages

Ndapa Nakashole

We present a method for learning bilingual translation dictionaries between English and Bantu languages. We show that exploiting the grammatical structure common to Bantu languages…

cs.CL2018★ 1 cited

Characterizing Departures from Linearity in Word Translation

Ndapa Nakashole, Raphael Flauger

We investigate the behavior of maps learned by machine translation methods. The maps translate words by projecting between word embedding spaces of different languages. We locally…

cs.AI2016★ 1 cited

Machine Reading with Background Knowledge

Ndapandula Nakashole, Tom M. Mitchell

Intelligent systems capable of automatically understanding natural language text are important for many artificial intelligence applications including mobile phone voice assistants…

cs.SD2016

Discovering Sound Concepts and Acoustic Relations In Text

Anurag Kumar, Bhiksha Raj, Ndapandula Nakashole

In this paper we describe approaches for discovering acoustic concepts and relations in text. The first major goal is to be able to identify text phrases which contain a notion of…

cs.DB2015

An Operator for Entity Extraction in MapReduce

Ndapandula Nakashole

Dictionary-based entity extraction involves finding mentions of dictionary entities in text. Text mentions are often noisy, containing spurious or missing words. Efficient algorith…

cs.CL2015

Bootstrapping Ternary Relation Extractors

Ndapandula Nakashole

Binary relation extraction methods have been widely studied in recent years. However, few methods have been developed for higher n-ary relation extraction. One limiting factor is t…