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Found 31 papers, 15 papers with code
Keyword-based Natural Language Premise Selection for an Automatic Mathematical Statement Proving
Extraction of supportive premises for a mathematical problem can contribute to profound success in improving automatic reasoning systems.
Docalog: Multi-document Dialogue System using Transformer-based Span Retrieval
Information-seeking dialogue systems, including knowledge identification and response generation, aim to respond to users with fluent, coherent, and informative answers based on users’ needs.
Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions
This survey is intended as a resource for researchers and developers entering the field of generative AI animation or adjacent fields.
ParsiPy: NLP Toolkit for Historical Persian Texts in Python
The study of historical languages presents unique challenges due to their complex orthographic systems, fragmentary textual evidence, and the absence of standardized digital representations of text in those languages.
Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
Large Language Models (LLMs) struggle with hallucinations and outdated knowledge due to their reliance on static training data.
AIMA at SemEval-2024 Task 10: History-Based Emotion Recognition in Hindi-English Code-Mixed Conversations
In this study, we introduce a solution to the SemEval 2024 Task 10 on subtask 1, dedicated to Emotion Recognition in Conversation (ERC) in code-mixed Hindi-English conversations.
AIMA at SemEval-2024 Task 3: Simple Yet Powerful Emotion Cause Pair Analysis
Subtask 1 revolves around the extraction of textual emotion-cause pairs, where causes are defined and annotated as textual spans within the conversation.
CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information Retrieval
This unified lightweight model bridges the gap between various modalities and languages, enhancing its effectiveness in handling and retrieving multilingual and multimodal data.
TuringQ: Benchmarking AI Comprehension in Theory of Computation
We present TuringQ, the first benchmark designed to evaluate the reasoning capabilities of large language models (LLMs) in the theory of computation.
Emo3D: Metric and Benchmarking Dataset for 3D Facial Expression Generation from Emotion Description
Existing 3D facial emotion modeling have been constrained by limited emotion classes and insufficient datasets.
SuperPos-Prompt: Enhancing Soft Prompt Tuning of Language Models with Superposition of Multi Token Embeddings
Soft prompt tuning techniques have recently gained traction as an effective strategy for the parameter-efficient tuning of pretrained language models, particularly minimizing the required adjustment of model parameters.
Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian Language?
Evaluating Large Language Models (LLMs) is challenging due to their generative nature, necessitating precise evaluation methodologies.
M$^3$Face: A Unified Multi-Modal Multilingual Framework for Human Face Generation and Editing
Additionally, we propose the M3CelebA Dataset, a large-scale multi-modal and multilingual face dataset containing high-quality images, semantic segmentations, facial landmarks, and different captions for each image in multiple languages.
KhabarChin: Automatic Detection of Important News in the Persian Language
This paper introduces the detection of important news, in a previously unexplored area, and presents a new benchmarking dataset (Khabarchin) for detecting important news in the Persian language.
Taxi1500: A Multilingual Dataset for Text Classification in 1500 Languages
While natural language processing tools have been developed extensively for some of the world's languages, a significant portion of the world's over 7000 languages are still neglected.
The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments
We present the Touch\'e23-ValueEval Dataset for Identifying Human Values behind Arguments.
Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging
We create Hengam in the following concrete steps: (1) we develop HengamTagger, an extensible rule-based tool that can extract temporal expressions from a set of diverse language-specific patterns for any language of interest.
Ranked #1 on
Temporal Tagging
on HengamCorpus
XPASC: Measuring Generalization in Weak Supervision by Explainability and Association
To verify this assumption, we introduce a novel method, XPASC (eXPlainability-Association SCore), for measuring the generalization of a model trained with a weakly supervised dataset.
Stateless and Rule-Based Verification For Compliance Checking Applications
Both of deductive and model checking verification techniques are relying on a notion of state and as a result, their underlying computational models are state dependent.
KnowMAN: Weakly Supervised Multinomial Adversarial Networks
The knowledge is captured in labeling functions, which detect certain regularities or patterns in the training samples and annotate corresponding labels for training.
Subword Sampling for Low Resource Word Alignment
This method's hypothesis is that the aggregation of different granularities of text for certain language pairs can help word-level alignment.
EmbLexChange at SemEval-2020 Task 1: Unsupervised Embedding-based Detection of Lexical Semantic Changes
This paper describes EmbLexChange, a system introduced by the {``}Life-Language{''} team for SemEval-2020 Task 1, on unsupervised detection of lexical-semantic changes.
Unsupervised Embedding-based Detection of Lexical Semantic Changes
This paper describes EmbLexChange, a system introduced by the "Life-Language" team for SemEval-2020 Task 1, on unsupervised detection of lexical-semantic changes.
UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages
We introduce a method called DomDrift to mitigate the huge domain mismatch between Bible and Twitter by a confidence weighting scheme that uses domain-specific embeddings to compare the nearest neighbors for a candidate sentiment word in the source (Bible) and target (Twitter) domain.
Past, Present, Future: A Computational Investigation of the Typology of Tense in 1000 Languages
We present SuperPivot, an analysis method for low-resource languages that occur in a superparallel corpus, i. e., in a corpus that contains an order of magnitude more languages than parallel corpora currently in use.
Nonsymbolic Text Representation
We introduce the first generic text representation model that is completely nonsymbolic, i. e., it does not require the availability of a segmentation or tokenization method that attempts to identify words or other symbolic units in text.
Comparing Fifty Natural Languages and Twelve Genetic Languages Using Word Embedding Language Divergence (WELD) as a Quantitative Measure of Language Distance
WELD is defined as divergence between unified similarity distribution of words between languages.
A New Approach for Scalable Analysis of Microbial Communities
We introduce a new approach for the efficient analysis of microbial communities.
ProtVec: A Continuous Distributed Representation of Biological Sequences
Named bio-vectors (BioVec) to refer to biological sequences in general with protein-vectors (ProtVec) for proteins (amino-acid sequences) and gene-vectors (GeneVec) for gene sequences, this representation can be widely used in applications of deep learning in proteomics and genomics.
