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

Nabin Maharjan | Rajendra Banjade | Nobal Bikram Niraula | Vasile Rus |

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

Rajendra Banjade | Nabin Maharjan | Nobal Bikram Niraula | Vasile Rus |

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

Rajendra Banjade | Nabin Maharjan | Nobal Bikram Niraula | Dipesh Gautam | Borhan Samei | Vasile Rus |

NeRoSim: A System for Measuring and Interpreting Semantic Textual Similarity *SEMEVAL

Rajendra Banjade | Nobal Bikram Niraula | Nabin Maharjan | Vasile Rus | Dan Stefanescu | Mihai Lintean | Dipesh Gautam |

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

Nobal Bikram Niraula | Vasile Rus |

The DARE Corpus: A Resource for Anaphora Resolution in Dialogue Based Intelligent Tutoring Systems LREC

Nobal Niraula | Vasile Rus | Rajendra Banjade | Dan Stefanescu | William Baggett | Brent Morgan |

SEMILAR: The Semantic Similarity Toolkit ACL

Vasile Rus | Mihai Lintean | Rajendra Banjade | Nobal Niraula | Dan Stefanescu |