2017 Proceeding
This volume marks the third year of the peer-reviewed conference track at FIRE. Its scope has significant overlap with that of ACM SIGIR and ACM CHIIR. We are very fortunate that the FIRE Program Committee also has a number of members in common with the ACM SIGIR and CHIIR Program Committees. We believe that the reviewers' active participation enabled us to maintain the quality of the conference, and to provide high-quality reviews to our contributors. We would like to take this opportunity to thank all the reviewers for submitting reviews on time despite their very busy schedule.
Proceeding Downloads
Improving Similar Question Retrieval using a Novel Tripartite Neural Network based Approach
Collective intelligence of the crowds is distilled together in various Community Question Answering (CQA) Services such as Quora, Yahoo Answers, Stack Overflow forums, wherein users share their knowledge, providing both informational and experiential ...
A Comparison of Automatic Search Query Enhancement Algorithms That Utilise Wikipedia as a Source of A Priori Knowledge
This paper describes the benchmarking and analysis of five Automatic Search Query Enhancement (ASQE) algorithms that utilise Wikipedia as the sole source for a priori knowledge. The contributions of this paper include: 1) A comprehensive review into ...
Language Identification in Mixed Script
The text exchanged in social media conversations is often noisy with a mixture of stylistic and misspelt variations of original words. Any standard NLP techniques applied on such data such as POS tagging, Named entity recognition suffer because of noisy ...
A Comparative Study of Named Entity Recognition for Telugu
In this paper, we apply three classification learning algorithms to Telugu Named Entity Recognition (NER) task and we present a comparative study between these three learning algorithms on Telugu dataset (NER for South and South-East Asian Languages (...
Feature Space of Deep Learning and its Importance: Comparison of Clustering Techniques on the Extended Space of ML-ELM
Based on the architecture of deep learning, Multilayer Extreme Learning Machine (ML-ELM) has many good characteristics which make it distinct and widespread classifier in the domain of text mining. Some of its salient features include non-linear mapping ...
Segmentation of Merged Lines and Script Identification in Handwritten Bilingual Documents
Text line segmentation is a challenging task in Optical Character Recognition, due to writing style of writers and touching characters or Matra between lines. In this paper, we have proposed an algorithm for dividing the merged lines into individual ...
Index Terms
- Proceedings of the 9th Annual Meeting of the Forum for Information Retrieval Evaluation