• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 25 matches

• 2014
• 
  N. Abinaya, Neethu John, Barathi H. B. Ganesh, M. Anand Kumar, K. P. Soman:
  AMRITA_CEN@FIRE-2014: Named Entity Recognition for Indian Languages using Rich Features. FIRE 2014: 103-111
• 
  Somnath Banerjee, Alapan Kuila, Aniruddha Roy, Sudip Kumar Naskar, Paolo Rosso, Sivaji Bandyopadhyay:
  A Hybrid Approach for Transliterated Word-Level Language Identification: CRF with Post-Processing Heuristics. FIRE 2014: 54-59
• 
  Channa Bankapur, Adithya Abraham Philip, Saimadhav Heblikar:
  Query Word Labeling using Supervised Machine Learning: Shared task report by PESIT team. FIRE 2014: 91-97
• 
  Irshad Ahmad Bhat, Vandan Mujadia, Aniruddha Tammewar, Riyaz Ahmad Bhat, Manish Shrivastava:
  IIIT-H System Submission for FIRE2014 Shared Task on Transliterated Search. FIRE 2014: 48-53
• 
  Anirban Chakraborty, Kripabandhu Ghosh, Swapan Kumar Parui:
  Building Test Collection from Old IR Literature. FIRE 2014: 121-125
• 
  Paul D. Clough:
  Evaluation: Thinking Outside the (Search) Box. FIRE 2014: 1-9
• 
  Matthias Feys, Thomas Demeester, Blaz Fortuna, Johannes Deleu, Chris Develder:
  On the robustness of event detection evaluation: a case study. FIRE 2014: 138-141
• 
  Enrique Flores, Paolo Rosso, Lidia Moreno, Esaú Villatoro-Tello:
  On the Detection of SOurce COde Re-use. FIRE 2014: 21-30
• 
  Debasis Ganguly, Gareth J. F. Jones:
  DCU@FIRE-2014: An Information Retrieval Approach for Source Code Plagiarism Detection. FIRE 2014: 39-42
• 
  Debasis Ganguly, Santanu Pal, Gareth J. F. Jones:
  DCU@FIRE-2014: Fuzzy Queries with Rule-based Normalization for Mixed Script Information Retrieval. FIRE 2014: 80-85
• 
  Deepak Kumar Gupta, Shubham Kumar, Asif Ekbal:
  Machine Learning Approach for Language Identification & Transliteration. FIRE 2014: 60-64
• 
  Mohammad Moinul Hoque, Paulo Quaresma:
  SEMONTOQA: A Semantic Understanding-Based Ontological Framework for Factoid Question Answering. FIRE 2014: 10-20
• 
  Ambedkar Kanapala, Sukomal Pal:
  Test Collection for Legal IR from Online Discussion Forums. FIRE 2014: 126-129
• 
  Guofu Li, Aniruddha Ghosh, Tony Veale:
  Constructing A Corpus Of Figurative Language For a Tweet Classification and Retrieval Task. FIRE 2014: 130-133
• 
  Laurent Mertens, Thomas Demeester, Johannes Deleu, Matthias Feys, Chris Develder:
  Entity Linking: Test Collections Revisited. FIRE 2014: 134-137
• 
  Abhinav Mukherjee, Anirudh Ravi, Kaustav Datta:
  Mixed-script query labelling using supervised learning and ad hoc retrieval using sub word indexing. FIRE 2014: 86-90
• 
  Shraddha Patel, Vaibhavi Desai:
  LIGA and Syllabification Approach for Language Identification and Back Transliteration: A Shared Task Report by DA-IICT. FIRE 2014: 43-47
• 
  Dinesh Kumar Prabhakar, Shantanu Dubey, Bharti Goel, Sukomal Pal:
  ISM@FIRE-2014: Named Entity Recognition for Indian Languages. FIRE 2014: 98-102
• 
  Dinesh Kumar Prabhakar, Sukomal Pal:
  ISM@FIRE-2014: Shared Task on Transliterated Search. FIRE 2014: 65-69
• 
  Abhinav Raj:
  Word Level Language Identification and Back-Transliteration. FIRE 2014: 74-79
• 
  Aarón Ramírez-de-la-Cruz, Gabriela Ramírez-de-la-Rosa, Christian Sánchez-Sánchez, Héctor Jiménez-Salazar:
  On the Importance of Lexicon, Structure and Style for Identifying Source Code Plagiarism. FIRE 2014: 31-38
• 
  Royal Denzil Sequiera, Shashank S. Rao, B. R. Shambavi:
  Word-Level Language Identification and Back Transliteration of Romanized Text. FIRE 2014: 70-73
• 
  Praveen Yadav, Sukomal Pal, Rishabh Kumar, Surender Singh, Harsh Singh:
  Popular Acronym Retrieval through Text Messaging. FIRE 2014: 142-145
• 
  Anand Kumar M, K. P. Soman:
  AMRITA_CEN@FIRE-2014: Morpheme Extraction and Lemmatization for Tamil using Machine Learning. FIRE 2014: 112-120
• 
  Prasenjit Majumder, Mandar Mitra, Madhulika Agrawal, Parth Mehta:
  Proceedings of the Forum for Information Retrieval Evaluation, FIRE 2014, Bangalore, India, December 5-7, 2014. ACM 2014, ISBN 978-1-4503-3755-7 [contents]