4 citations · 10 across the 9 of their papers we have counts for
10 papers
CLARITY: A Framework and Benchmark for Conversational Language Ambiguity and Unanswerability in Interactive NL2SQL Systems
Tabinda Sarwar, Farhad Moghimifar, Cong Duy Vu Hoang +6
NL2SQL systems deployed in industry settings often encounter ambiguous or unanswerable queries, particularly in interactive scenarios with incomplete user clarification. Existing b…
Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model
Minghan Wang, Viet-Thanh Pham, Farhad Moghimifar +1
Despite achieving remarkable performance, machine translation (MT) research remains underexplored in terms of translating cultural elements in languages, such as idioms, proverbs,…
Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs
Fatemeh Shiri, Van Nguyen, Farhad Moghimifar +3
Large Language Models (LLMs) demonstrate significant capabilities in processing natural language data, promising efficient knowledge extraction from diverse textual sources to enha…
Modelling Political Coalition Negotiations Using LLM-based Agents
Farhad Moghimifar, Yuan-Fang Li, Robert Thomson +1
Coalition negotiations are a cornerstone of parliamentary democracies, characterised by complex interactions and strategic communications among political parties. Despite its signi…
Few-shot Domain-Adaptive Visually-fused Event Detection from Text
Farhad Moghimifar, Fatemeh Shiri, Van Nguyen +2
Incorporating auxiliary modalities such as images into event detection models has attracted increasing interest over the last few years. The complexity of natural language in descr…
NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery
Farhad Moghimifar, Shilin Qu, Tongtong Wu +2
Norms, which are culturally accepted guidelines for behaviours, can be integrated into conversational models to generate utterances that are appropriate for the socio-cultural cont…
Neural-Symbolic Commonsense Reasoner with Relation Predictors
Farhad Moghimifar, Lizhen Qu, Yue Zhuo +2
Commonsense reasoning aims to incorporate sets of commonsense facts, retrieved from Commonsense Knowledge Graphs (CKG), to draw conclusion about ordinary situations. The dynamic na…
Domain Adaptative Causality Encoder
Farhad Moghimifar, Gholamreza Haffari, Mahsa Baktashmotlagh
Current approaches which are mainly based on the extraction of low-level relations among individual events are limited by the shortage of publicly available labelled data. Therefor…
Learning Causal Bayesian Networks from Text
Farhad Moghimifar, Afshin Rahimi, Mahsa Baktashmotlagh +1
Causal relationships form the basis for reasoning and decision-making in Artificial Intelligence systems. To exploit the large volume of textual data available today, the automatic…
COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering
Farhad Moghimifar, Lizhen Qu, Yue Zhuo +2
Commonsense reasoning refers to the ability of evaluating a social situation and acting accordingly. Identification of the implicit causes and effects of a social context is the dr…