S. Manandhar

Publications
Influence

SemEval-2014 Task 4: Aspect Based Sentiment Analysis

Maria Pontiki, D. Galanis, John Pavlopoulos, Haris Papageorgiou, Ion Androutsopoulos, S. Manandhar
Computer Science
COLING
1 August 2014

Sentiment analysis is increasingly viewed as a vital task both from an academic and a commercial standpoint. Expand

SemEval-2010 Task 14: Word Sense Induction &Disambiguation

S. Manandhar, I. Klapaftis, Dmitriy Dligach, Sameer Pradhan
Computer Science
SemEval@ACL
15 July 2010

This paper presents the description and evaluation framework of SemEval-2010 Word Sense Induction & Disambiguation task, as well as the evaluation results of 26 participating systems. Expand

An Empirical Study on Compositionality in Compound Nouns

Siva Reddy, Diana McCarthy, S. Manandhar
Computer Science
IJCNLP
1 November 2011

A multiword is compositional if its meaning can be expressed in terms of the meaning of its constituents. Expand

Exploiting Syntactic and Shallow Semantic Kernels for Question Answer Classification

Alessandro Moschitti, S. Quarteroni, Roberto Basili, S. Manandhar
Computer Science
ACL
1 December 2007

We study the impact of syntactic and shallow semantic information in automatic classification of questions and answers and answer re-ranking. Expand

SemEval-2015 Task 12: Aspect Based Sentiment Analysis

Maria Pontiki, D. Galanis, Haris Papageorgiou, S. Manandhar, Ion Androutsopoulos
Computer Science
NAACL
1 June 2015

SemEval-2015 Task 12, a continuation of Sem Eval-2014 Task 4, aimed to foster research beyond sentenceor text-level sentiment classification towards Aspect Based Sentiment Analysis. Expand

Stochastic Constraint Programming: A Scenario-Based Approach

Armagan Tarim, S. Manandhar, T. Walsh
Mathematics, Computer Science
Constraints
5 March 2009

We introduce scenario based stochastic constraint programming for decision making under uncertainty in a language called Stochastic OPL. Expand

Extending a Lexical Ontology by a Combination of Distributional Semantics Signatures

Enrique Alfonseca, S. Manandhar
Computer Science
EKAW
1 October 2002

We describe here a procedure to automatically extend an ontology such as WordNet with domain-specific knowledge. Expand

An Unsupervised Method for General Named Entity Recognition and Automated Concept Discovery

Enrique Alfonseca, S. Manandhar
Computer Science
2004

This paper presents an approach to enriching ontologies with domain-dependent information in a fully unsupervised way. Expand

Tag-based expert recommendation in community question answering

Baoguo Yang, S. Manandhar
Computer Science
IEEE/ACM International Conference on Advances in…
17 August 2014

We study the user expertise under tags rather than topics in CQA and show that our method can achieve better performance than the state-of-the-art model. Expand

Priority Union and Generalization in Discourse Grammars

C. Grover, Chris Brew, S. Manandhar, M. Moens
Computer Science
ACL
30 May 1994

We describe an implementation in Carpenter's typed feature formalism, ALE, of a discourse grammar of the kind proposed by Scha, Polanyi, et al. which uses the operations of priority union and generalization to resolve parallelism-dependent anaphora. Expand

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