Search Results for author: Rami Aly

Found 9 papers, 6 papers with code

Efficient Unsupervised NMT for Related Languages with Cross-Lingual Language Models and Fidelity Objectives

no code implementations EACL (VarDial) 2021 Rami Aly, Andrew Caines, Paula Buttery

The most successful approach to Neural Machine Translation (NMT) when only monolingual training data is available, called unsupervised machine translation, is based on back-translation where noisy translations are generated to turn the task into a supervised one.

Denoising Language Modelling +3

The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) Shared Task

no code implementations EMNLP (FEVER) 2021 Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal

The Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS) shared task, asks participating systems to determine whether human-authored claims are Supported or Refuted based on evidence retrieved from Wikipedia (or NotEnoughInfo if the claim cannot be verified).

Retrieval

Automated Few-shot Classification with Instruction-Finetuned Language Models

1 code implementation21 May 2023 Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson

We observe, in the context of classification tasks, that instruction finetuned language models exhibit remarkable prompt robustness, and we subsequently propose a simple method to eliminate the need for handcrafted prompts, named AuT-Few.

Classification Few-Shot Learning +1

Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification

1 code implementation10 Dec 2022 Rami Aly, Andreas Vlachos

We propose a novel retrieve-and-rerank method for multi-hop retrieval, that consists of a retriever that jointly scores documents in the knowledge source and sentences from previously retrieved documents using an autoregressive formulation and is guided by a proof system based on natural logic that dynamically terminates the retrieval process if the evidence is deemed sufficient.

Fact Verification Retrieval

Leveraging Type Descriptions for Zero-shot Named Entity Recognition and Classification

no code implementations ACL 2021 Rami Aly, Andreas Vlachos, Ryan Mcdonald

We address the zero-shot NERC specific challenge that the not-an-entity class is not well defined as different entity classes are considered in training and testing.

Machine Reading Comprehension named-entity-recognition +7

FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information

1 code implementation10 Jun 2021 Rami Aly, Zhijiang Guo, Michael Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal

Fact verification has attracted a lot of attention in the machine learning and natural language processing communities, as it is one of the key methods for detecting misinformation.

Fact Verification Misinformation

Hierarchical Multi-label Classification of Text with Capsule Networks

1 code implementation ACL 2019 Rami Aly, Steffen Remus, Chris Biemann

Capsule networks have been shown to demonstrate good performance on structured data in the area of visual inference.

Attribute General Classification +4

Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings

1 code implementation ACL 2019 Rami Aly, Shantanu Acharya, Alexander Ossa, Arne Köhn, Chris Biemann, Alexander Panchenko

We introduce the use of Poincar\'e embeddings to improve existing state-of-the-art approaches to domain-specific taxonomy induction from text as a signal for both relocating wrong hyponym terms within a (pre-induced) taxonomy as well as for attaching disconnected terms in a taxonomy.

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