• 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 73 matches

• 2023
• 
  Kripabandhu Ghosh, Thomas Mandl, Prasenjit Majumder, Mandar Mitra:
  Working Notes of FIRE 2022 - Forum for Information Retrieval Evaluation, Kolkata, India, December 9-13, 2022. CEUR Workshop Proceedings 3395, CEUR-WS.org 2023 [contents]
• 2022
• 
  Aaron Samuel A, Lavanya Sambath Kumar, Subalalitha Chinnaudayar Navaneethakrishnan, Ratnasingam Sakuntharaj:
  A Sequential DNN for Sentiment Analysis of Dravidian Code-Mixed Language Comments on YouTube. FIRE (Working Notes) 2022: 177-183
• 
  Subinay Adhikary:
  A Machine Learning Approach for COVID-19 Tweet Classification. FIRE (Working Notes) 2022: 349-353
• 
  Arjit Agarwal, Soham Naik, Sheetal S. Sonawane:
  Abstractive Text Summarization for Hindi Language using IndicBART. FIRE (Working Notes) 2022: 409-417
• 
  Bénédicte Diot-Parvaz Ahmad, Pierre Magistry, Ilaine Wang, Damien Nouvel:
  Leveraging BERT, MWE, and ML Models to Detect Emotions and Threats in Urdu. FIRE (Working Notes) 2022: 298-308
• 
  Sumanth Balaji, Sagar Joshi, Aditya Hari, Abhijeeth Singam, Vasudeva Varma:
  COVID-19 vaccine stance classification from tweets. FIRE (Working Notes) 2022: 320-324
• 
  Akshit Bansal, Rohit Jain, Jatin Bedi:
  Detecting COVID-19 Vaccine Stance and Symptom Reporting from Tweets using Contextual Embeddings. FIRE (Working Notes) 2022: 361-368
• 
  Yves Bestgen:
  Confirming the Effectiveness of a Simple Language-Agnostic Yet Very Strong System for Hate Speech and Offensive Content Identification. FIRE (Working Notes) 2022: 584-589
• 
  Anik Basu Bhaumik, Mithun Das:
  Emotions & Threat Detection in Urdu using Transformer Based Models. FIRE (Working Notes) 2022: 238-246
• 
  Shivangi Bithel:
  CTC: COVID-19 Tweet Classification using CT-BERT. FIRE (Working Notes) 2022: 325-330
• 
  Sabur Butt, Maaz Amjad, Fazlourrahman Balouchzahi, Noman Ashraf, Rajesh Sharma, Grigori Sidorov, Alexander F. Gelbukh:
  Overview of EmoThreat: Emotions and Threat Detection in Urdu at FIRE 2022. FIRE (Working Notes) 2022: 220-230
• 
  Shayak Chakraborty, Darsh Kaushik, Sahinur Rahman Laskar, Partha Pakray:
  Exploring Text Summarization Models for Indian Languages. FIRE (Working Notes) 2022: 443-448
• 
  Supriya Chanda, Anshika Mishra, Sukomal Pal:
  Sentiment Analysis and Homophobia detection of Code-Mixed Dravidian Languages leveraging pre-trained model and word-level language tag. FIRE (Working Notes) 2022: 184-195
• 
  Supriya Chanda, Sacchit D. Sheth, Sukomal Pal:
  Coarse and Fine-Grained Conversational Hate Speech and Offensive Content Identification in Code-Mixed Languages using Fine-Tuned Multilingual Embedding. FIRE (Working Notes) 2022: 502-512
• 
  Tanmay Chavan, Shantanu Patankar, Aditya Kane, Omkar Gokhale, Raviraj Joshi:
  A Twitter BERT Approach for Offensive Language Detection in Marathi. FIRE (Working Notes) 2022: 522-528
• 
  Haoyang Chen, Zhongyuan Han, Leilei Kong, Zhijie Zhang, Zengyao Li, Mingcan Guo, Haoliang Qi:
  Mixture Models based on BERT for Hate Speech Detection. FIRE (Working Notes) 2022: 611-616
• 
  Kaustav Das:
  Need for Vision: A data-centric approach towards analysing impact of COVID-19. FIRE (Working Notes) 2022: 331-336
• 
  Mithun Das, Subhadeep Chatterjee:
  Exploring Transformer-Based Models for Automatic Useful Code Comments Detection. FIRE (Working Notes) 2022: 15-23
• 
  Sobha Lalitha Devi:
  Anaphora Resolution from Social Media Text in Indian Languages (SocAnaRes-IL) : 2 nd Edition-Overview. FIRE (Working Notes) 2022: 208-214
• 
  N. Muhammad Fadil, Lavanya S. K:
  Sentiment Analysis of YouTube comments in Dravidian Code-Mixed Language using Deep Neural Network. FIRE (Working Notes) 2022: 100-105
• 
  José Antonio García-Díaz, Manuel Valencia-García, Gema Alcaraz-Mármol, Rafael Valencia-García:
  Exploring Language Independent Linguistic Features and Transformers in a Multi-label Emotion Detection Challenge in Urdu using Nastalīq Script. FIRE (Working Notes) 2022: 247-255
• 
  Bikram Ghosh, Pankaj Chowdhury, Utpal Sarkar:
  Prediction of Useless and irrelevant Comments in C Language as per Surrounding Code Context. FIRE (Working Notes) 2022: 10-14
• 
  Koyel Ghosh, Apurbalal Senapati:
  Information Retrieval in Software Engineering utilizing a pre-trained BERT model. FIRE (Working Notes) 2022: 24-28
• 
  Koyel Ghosh, Apurbalal Senapati, Utpal Garain:
  Baseline BERT models for Conversational Hate Speech Detection in Code-mixed tweets utilizing Data Augmentation and Offensive Language Identification in Marathi. FIRE (Working Notes) 2022: 563-574
• 
  Mingcan Guo, Zhongyuan Han, Leilei Kong, Zhijie Zhang, Zengyao Li, Haoyang Chen, Haoliang Qi:
  Advantages of XLM-R Model for Urdu Sentiment Multi-Classification. FIRE (Working Notes) 2022: 291-297
• 
  Asha Hegde, Hosahalli Lakshmaiah Shashirekha:
  Leveraging Dynamic Meta Embedding for Sentiment Analysis and Detection of Homophobic/Transphobic Content in Code-mixed Dravidian Languages. FIRE (Working Notes) 2022: 147-156
• 
  Asha Hegde, Hosahalli Lakshmaiah Shashirekha:
  Learning Models for Emotion Analysis and Threatening Language Detection in Urdu Tweets. FIRE (Working Notes) 2022: 256-265
• 
  Manoj Balaji J, Chinmaya HS:
  A Study on Sentimental Analysis, Homophobia-Transphobia Detection for Dravidian Languages. FIRE (Working Notes) 2022: 138-146
• 
  Sagar Joshi, Sumanth Balaji, Aditya Hari, Abhijeeth Singam, Vasudeva Varma:
  Efficacy of Pretrained Architectures for Code Comment Usefulness Prediction. FIRE (Working Notes) 2022: 29-33
• 
  Sakshi Kalra, Saransh Goel, Kushank Maheshwari, Yashvardhan Sharma, Shresht Bhowmick:
  Applying TF-IDF and BERT-based Variants under Multilabel Classification for Emotion Detection in Urdu Language. FIRE (Working Notes) 2022: 276-285

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