A Novel Approach to Part Name Discovery in Noisy Text

no code implementations • NAACL 2018 • Nobal Bikram Niraula, Daniel Whyatt, Anne Kao

As a specialized example of information extraction, part name extraction is an area that presents unique challenges.

Management

DTSim at SemEval-2016 Task 2: Interpreting Similarity of Texts Based on Automated Chunking, Chunk Alignment and Semantic Relation Prediction

no code implementations • SEMEVAL 2016 • Rajendra Banjade, Nabin Maharjan, Nobal Bikram Niraula, Vasile Rus

Chunking Semantic Textual Similarity +1

Evaluation Dataset (DT-Grade) and Word Weighting Approach towards Constructed Short Answers Assessment in Tutorial Dialogue Context

no code implementations • WS 2016 • Rajendra Banjade, Nabin Maharjan, Nobal Bikram Niraula, Dipesh Gautam, Borhan Samei, Vasile Rus

SemAligner: A Method and Tool for Aligning Chunks with Semantic Relation Types and Semantic Similarity Scores

no code implementations • LREC 2016 • Nabin Maharjan, Rajendra Banjade, Nobal Bikram Niraula, Vasile Rus

This paper introduces a ruled-based method and software tool, called SemAligner, for aligning chunks across texts in a given pair of short English texts.

Semantic Similarity Semantic Textual Similarity +1

NeRoSim: A System for Measuring and Interpreting Semantic Textual Similarity

no code implementations • SEMEVAL 2015 • Rajendra Banjade, Nobal Bikram Niraula, Nabin Maharjan, Vasile Rus, Dan Stefanescu, Mihai Lintean, Dipesh Gautam

Chunking Semantic Textual Similarity +1

Judging the Quality of Automatically Generated Gap-fill Question using Active Learning

no code implementations • WS 2015 • Nobal Bikram Niraula, Vasile Rus

Active Learning Reading Comprehension