Defect Triage is a time-sensitive and critical process in a large-scale agile software development lifecycle for e-commerce. Inefficiencies arising from human and process dependencies in this domain have motivated research in automated approaches using machine learn- ing to accurately assign defects to qualified teams. This work proposes a novel framework for automated defect triage (DEFTri) using fine-tuned state-of-the-art pre-trained BERT on labels fused text embeddings to improve contextual representations from human-generated product defects. For our multi-label text classification defect triage task, we also introduce a Walmart proprietary dataset of product defects using weak supervision and adversarial learning, in a few-shot setting.

DEFTri: A Few-Shot Label Fused Contextual Representation Learning For Product Defect Triage in e-Commerce

**Organizers:** :Shervin Malmasi, Eugene Agichtein, Surya Kallumadi, Nicola Ueffing, Oleg Rokhlenko, Ido
Guy
 **Description:** NLP and IR have been closely linked to e-commerce applications since the early days of the fields. This close relationship
between the two is evidenced by early publications as well as the growing number of recent publications at the intersection
of the two areas. Today, NLP and IR play a significant role in e-commerce tasks, including product search, recommender
systems, product question answering, sentiment analysis, product description and review summarization, chatbots and
shopping assistants, and customer review processing, among many other tasks being investigated by researchers in the
field. These methods play a key part in today’s online retail and shopping landscape, and continue to evolve and further
enhance the customer experience. The ECNLP workshop aims to provide a venue for the dissemination of NLP/IR
research related to e-commerce and online shopping, bringing together researchers from both academia and industry.
 
**Please visit our [website](https://sites.google.com/view/ecnlp)**

(ECNLP) The Fifth Workshop on e-Commerce and NLP

workshop paper

# Welcome everyone to ACL 2022!

The 60th Annual Meeting of the Association for Computational Linguistics is taking place May 22-27, 2022 as a hybrid event, in Dublin and online. We are happy to welcome all of you to this anniversary edition with an almost 50-50 in-person and virtual participation. 
The main conference program features oral presentations, in-person and virtual posters and demo sessions, a plenary session for our best paper presentations and awards, three amazing keynote events and two new initiatives of invited talks: Spotlight Talks for Young Rising Stars (STIRS) and The Next Big Idea Talks. Posters (including Findings of ACL 2022) and demos are grouped by areas for both the in-person and the virtual sessions. For the virtual component, the talks will be on Zoom and the posters and the demos will be in GatherTown. The Student Research Workshop will have an oral session and a poster session as part of Poster Session 1. The program also features eight Tutorials and 28 Workshops. 

 
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ACL 2022

The Association for Computational Linguistics (ACL) is the premier international scientific and professional society for people working on computational problems involving human language, a field often referred to as either computational linguistics or natural language processing (NLP). 

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DEFTri: A Few-Shot Label Fused Contextual Representation Learning For Product Defect Triage in e-Commerce

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