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| TUTORIAL DAY: Thursday, 12 December 2019 |
|
Venue: CVPR Seminar Hall, SN Bose Bhavan |
| 09:30-10:00 |
Registration |
| 10:00-13:00 |
Deep Learning for Search (Bhaskar Mitra) slides |
13:00-14:00 |
Lunch Break |
| 14:00-17:30 |
Deep Learning for Search (Bhaskar Mitra) |
Remaining sessions will be held in the Platinum Jubilee
Auditorium (PJA) |
| DAY 1: Friday, 13 December 2019 |
| 08:30-09:45 |
Registration |
| 09:45-10:00 |
Opening Remarks |
| 10:00-10:45 |
Nicholas Belkin - The Impact of an Era of Information Ubiquity on the Design and Evaluation
of Information Retrieval System slides |
| 10:45-12:45 |
Track overview (~25 minutes each)
- Artificial Intelligence for Legal Assistance (Kripabandhu Ghosh) slides
- Author profiling and deception detection in Arabic (Paolo Rosso) slides
- Tea Break
- Hate Speech and Offensive Content Identification in Indo-European Languages (Thomas Mandl) slides
- Classification of Insincere Questions (Manjira Sinha) slides
|
| 12:45-14:15 |
Lunch Break |
| 14:15-14:40 |
Track overview
- Irony Detection in Arabic Tweets (Paolo Rosso) slides
|
| 14:40-15:30 |
Full Paper Presentations (~25 minutes each)
- A CNN based approach to Phrase-Labelling through classification of N-Grams (Chinmay Choudhary)
- Authorship Clustering using TF-IDF weighted Word-Embeddings (Lucky Agarwal) slides
- Code-Mixed to Monolingual Translation Framework (Sainik Kumar Mahata) slides
|
| 15:30-15:45 |
Tea Break |
| 15:45-16:30 |
Gabriella Pasi - Evaluating Personalised Search and Recommendation: two sides of the same coin ? slides |
| 16:30-17:20 |
Full Paper Presentations (~25 minutes each)
- Unsupervised Approach for Monitoring Satire on Social Media (Aman Sinha) slides
- A Hybrid Approach to Develop the First Stemmer in Maithili (Ankur Priyadarshi) slides
|
| DAY 2: Saturday, 14 December 2019 |
| 10:00-10:45 |
Donna Harman - Thinking about Evaluation in Today's Information Access World slides |
| 10:45-11:15 |
K Parameswaran - Artificial Intelligence & Legal Research: Synergetic
Relationship Towards Constitutional Justice slides |
| 11:15-12:45 |
Short Paper Presentations (~15 minutes each)
- A Method to Detect Inconsistent Annotations in a Medical Document using UMLS (Disha Dudhal) slides
- Tea Break
- Exploring the Ideal Depth of Neural Network when Predicting Question Deletion on
Community Question Answering (Satanu Ghosh)
- Automatic Humor Detection from Code-Mixed Tweets (Vaibhav Shukla) slides
- Language Identification of Bengali-English Code-Mixed Data using Character &
Phonetic based LSTM Models (Sourya Dipta Das) slides
- Information Foraging for Enhancing Implicit Feedback in Content-based Image
Recommendation (Amit Kumar Jaiswal) slides
|
| 12:45-14:15 |
Lunch Break |
| 14:15-14:45 |
Panel Discussion on AI in Judiciary |
| 14:45-15:15 |
Invited talk by Lipika Dey, TCS Innovation Lab slides |
| 15:15-15:30 |
Tea Break |
| 15:30-16:20 |
AILA Track Presentations(~10 minutes each)
- Legal Statutes Retrieval: A Comparative Approach on Performance of Title and Statutes Descriptive Text (Moemedi Lefoane) slides
- Similarity in Legal Texts using Document Level Embeddings (Sara Renjit) slides
- System Report for Artificial Intelligence for Legal Assistance Shared Task (Tanik Saikh) slides
- Legal Assistance using Word Embeddings (S. Kayalvizhi) slides
- Context - Aware Legal Assistance System (R. Rajalakshmi)
|
| 16:30-18:00 |
Steering Committee Meeting |
| 19:00 |
Banquet |
| DAY 3: Sunday, 15 December 2019 |
| 10:00-10:45 |
Paolo Rosso - Miscommunication in social media: Bots, Hate and Fake slides |
| 10:45-12:45 |
HASOC Track Presentations (~10 minutes each)
- Fine-tuning Transformer Neural Networks for Hate Speech Identification in Indo-European Languages (Sudhanshu Mishra) slides
- Automated Hate Speech and Offensive Content Detection in English and Code-Mixed Hindi Text (Arup Baruah) slides
- Tea Break
- Language Agnostic Abuse Detection in Social Media (Punyajoy Saha) slides
- The Problem of Defining Hate (Md. Ataur Rahman) slides
- Traditional Machine Learning for Hate Speech and Offensive Content Identification (Anita Saroj)
- Hate Speech and Offensive Content Identification in Indo-European Languages (Akanksha Mishra) slides
- Supervised Hate Speech and Offensive Content Detection in Indo-European Languages (Urmi Saha) slides
- An Enhanced Ensemble Classifier for Hate and Offensive Content Identification (R.Rajalakshmi)
- Transfer-Learning for Detection and Classification of Hate Speech (Kaushik Amar Das) slides
- Identification of Hate Speech using Machine Learning and Deep Learning approaches for social media post (Apurva Parikh) slides
|
| 12:45-14:15 |
Lunch Break |
| 14:15-15:00 |
IDAT and APDA Track Presentations (~10 minutes each)
- Irony Detection in Arabic Tweets using Deep Learning and Features-based Approaches (S. Kayalvizhi) slides
- Arabic Author Profiling and Deception Detection using Traditional Learning Methodologies with Word Embedding (Haritha Ananthakrishnan) slides
- DBMS-KU Approach for Author Profiling and Deception Detection in Arabic (Al Hafiz Akbar Maulana Siagian) slides
- Gender, Age, and Dialect Recognition using Tweets in a Deep Learning Framework (Chanchal Suman) slides
|
| 15:00-15:15 |
Tea Break |
| 15:30-16:00 |
CIQ Track Presentations (~10 minutes each)
- Classification of Insincere Questions using SGD Optimization and SVM Classifiers (Akshaya Ranganathan) slides
- Classification of Insincere Questions (Akanksha Mishra) slides
- Fine Grained Insincere Questions Classification using Ensembles of Bidirectional LSTM-GRU Model (Sourya Dipta Das) slides
|
| 16:00-16:15 |
Closing |
