Utilizing Weak Supervision to Create S3D: A Sarcasm Annotated Dataset
Sarcasm is prevalent in all corners of social media, posing many challenges within Natural Language Processing (NLP), particularly for …
Findings of the WMT 2022 Shared Task on Quality Estimation
We report the results of the WMT 2022 shared task on Quality Estimation, in which the challenge is to predict the quality of the output …
Findings of the WMT 2022 Shared Task on Automatic Post-Editing
We present the results from the 8th round of the WMT shared task on MT Automatic Post-Editing, which consists in automatically …
SURREY-CTS-NLP at WASSA2022: An Experiment of Discourse and Sentiment Analysis for the Prediction of Empathy, Distress and Emotion
This paper summarises the submissions our team, SURREY-CTS-NLP has made for the WASSA 2022 Shared Task for the prediction of empathy, …
An Ensemble Approach to Acronym Extraction using Transformers
Acronyms are abbreviated units of a phrase constructed by using initial components of the phrase in a text. Automatic extraction of …
FrameNet-assisted Noun Compound Interpretation
Given a noun compound (NC), we address the problem of predicting the appropriate semantic label linking the constituents of the NC. …
Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviour
The gaze behaviour of a reader is helpful in solving several NLP tasks such as automatic essay grading. However, collecting gaze …
Cognitively Aided Zero-Shot Automatic Essay Grading
Automatic essay grading (AEG) is a process in which machines assign a grade to an essay written in response to a topic, called the …
Recommendation Chart of Domains for Cross-Domain Sentiment Analysis: Findings of A 20 Domain Study
Cross-domain sentiment analysis (CDSA) helps to address the problem of data scarcity in scenarios where labelled data for a domain …
Challenge Datasets of Cognate and False Friend Pairs for Indian Languages
Cognates are present in multiple variants of the same text across different languages (e.g., hund in German and hound in English …
"A Passage to India": Pre-trained Word Embeddings for Indian Languages
Dense word vectors or ‘word embeddings’ which encode semantic properties of words, have now become integral to NLP tasks …
Strategies of Effective Digitization of Commentaries and Sub-commentaries: Towards the Construction of Textual History
This paper describes additional aspects of a digital tool called the ‘Textual History Tool’. We describe its various salient features …
Harnessing Deep Cross-lingual Word Embeddings to Infer Accurate Phylogenetic Trees
Establishing language relatedness by inferring phylogenetic trees has been a topic of interest in the area of diachronic linguistics. …
"Keep Your Dimensions on a Leash": True Cognate Detection using Siamese Deep Neural Networks
Automatic Cognate Detection helps NLP tasks of Machine Translation, Information Retrieval, and Phylogenetics. Cognate words are defined …
Utilizing Word Embeddings based Features for Phylogenetic Tree Generation of Sanskrit Texts
Tracing the root of a text i.e., the original version of the text, by inferring phylogenetic trees has been a topic of interest in …
Utilizing Wordnets for Cognate Detection among Indian Languages
Automatic Cognate Detection (ACD) is a challenging task which has been utilized to help NLP applications like Machine Translation, …
An Introduction to the Textual History Tool
This paper describes a digital tool called the Textual History Tool in detail. This tool captures the historical evolution of a text …
Some Strategies to Capture Karaka-Yogyata with Special Reference to apadana
In today’s digital world language technology has gained importance. Several software, have been developed and are available in the …
Cognate Identification to improve Phylogenetic trees for Indian Languages
Cognates are present in multiple variants of the same text across different languages. Computational Phylogenetics uses algorithms and …
Synthesizing Audio for Hindi Wordnet
In this paper, we describe our work on the creation of a voice model using a speech synthesis system for the Hindi Language. We use …
pyiwn: A Python-based API to access Indian Language WordNets
Indian language WordNets have their individual web-based browsing interfaces along with a common interface for IndoWordNet. These …
New Vistas to study Bhartṛhari: Cognitive NLP
A sentence is an important notion in the Indian grammatical tradition. The collection of the definitions of a sentence can be found in …
Hindi Wordnet for Language Teaching: Experiences and Lessons Learnt
This paper reports the work related to making Hindi Wordnet1 available as a digital resource for language learning and teaching, and …
Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour
Predicting a reader’s rating of text quality is a challenging task that involves estimating different subjective aspects of the …
Scanpath Complexity: Modeling Reading Effort using Gaze Information
Measuring reading effort is useful for practical purposes such as designing learning material and personalizing text comprehension …
Sarcasm Suite: A browser-based engine for sarcasm detection and generation
Sarcasm Suite is a browser-based engine that deploys five of our past papers in sarcasm detection and generation. The sarcasm detection …
Is your Statement Purposeless? Predicting Computer Science Graduation Admission Acceptance based on Statement Of Purpose
We present a quantitative, data-driven machine learning approach to mitigate the problem of unpredictability of Computer Science …
That’ll do fine!: A coarse lexical resource for English-Hindi MT, using polylingual topic models
Parallel corpora are often injected with bilingual lexical resources for improved Indian language machine translation (MT). In absence …
Sophisticated Lexical Databases - Simplified Usage: Mobile Applications and Browser Plugins For Wordnets
India is a country with 22 officially recognized languages and 17 of these have WordNets, a crucial resource. Web browser based …
SlangNet: A WordNet like resource for English Slang
We present a WordNet like structured resource for slang words and neologisms on the internet. The dynamism of language is often an …
Predicting Readers' Sarcasm Understandability by Modeling Gaze Behavior
Sarcasm understandability or the ability to understand textual sarcasm depends upon readers’ language proficiency, social knowledge, …
Mapping it differently: A solution to the linking challenges
This paper reports the work of creating bilingual mappings in English for certain synsets of Hindi wordnet, the need for doing this, …
Leveraging Cognitive Features for Sentiment Analysis
Sentiments expressed in user-generated short text and sentences are nuanced by subtleties at lexical, syntactic, semantic and pragmatic …
Harnessing Cognitive Features for Sarcasm Detection
In this paper, we propose a novel mechanism for enriching the feature vector, for the task of sarcasm detection, with cognitive …
Civique: Using Social Media to detect Urban Emergencies
We present the Civique system for emergency detection in urban areas by monitoring micro blogs like Tweets. The system detects …
A picture is worth a thousand words: Using OpenClipArt library for enriching IndoWordNet
WordNet has proved to be immensely useful for Word Sense Disambiguation, and thence Machine translation, Information Retrieval and …
World WordNet database structure: an efficient schema for storing information of WordNets of the world
WordNet is an online lexical resource which expresses unique concepts in a language. English WordNet is the first WordNet which was …
Using Multilingual Topic Models for Improved Alignment in English-Hindi MT
Parallel corpora are often injected with bilingual dictionaries for improved Indian language machine translation (MT). In absence of …
TransChat: Cross-Lingual Instant Messaging for Indian Languages
We present TransChat, an open-source, cross platform, Indian language Instant Messaging (IM) application that facilitates cross lingual …
PanchBhoota: Hierarchical phrase based machine translation systems for five Indian languages
We present our work on developing fifteen Hierarchical Phrase Based Statistical Machine Translation (HPBSMT) systems for five Indian …
PaCMan: Parallel Corpus Management Workbench
We present a Parallel Corpora Management tool that aides parallel corpora generation for the task of Machine Translation (MT). It takes …
Do not do processing, when you can look up: Towards a Discrimination Net for WSD
The task of Word Sense Disambiguation (WSD) incorporates in its definition the role of ‘context’. We present our work on the …
More than meets the eye: Study of Human Cognition in Sense Annotation
Word Sense Disambiguation (WSD) approaches have reported good accuracies in recent years. However, these approaches can be classified …
Discrimination-net for Hindi
Current state-of-the-art Word Sense Disambiguation (WSD) algorithms are mostly supervised and use the P (Sense|Word) statistic for …
A Study of the Sense Annotation Process: Man v/s Machine.
Does context help determine sense? This question might seem frivolous, even preposterous to anybody sensible. However, our long time …
