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20172019
most citedDiverse Beam Search for Increased Novelty in Abstractive Summarization

8 citations · 19 across the 10 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

cs.CL2018

Embedding Individual Table Columns for Resilient SQL Chatbots

Bojan Petrovski, Ignacio Aguado, Andreea Hossmann +2

Most of the world's data is stored in relational databases. Accessing these requires specialized knowledge of the Structured Query Language (SQL), putting them out of the reach of…

cs.CL2018★ 7 cited

Churn Intent Detection in Multilingual Chatbot Conversations and Social Media

Christian Abbet, Meryem M'hamdi, Athanasios Giannakopoulos +4

We propose a new method to detect when users express the intent to leave a service, also known as churn. While previous work focuses solely on social media, we show that this inten…

cs.CL2018★ 8 cited

Diverse Beam Search for Increased Novelty in Abstractive Summarization

André Cibils, Claudiu Musat, Andreea Hossman +1

Text summarization condenses a text to a shorter version while retaining the important informations. Abstractive summarization is a recent development that generates new phrases, r…

cs.CL2018

Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings

Mladen Dimovski, Claudiu Musat, Vladimir Ilievski +2

Spoken language understanding (SLU) systems, such as goal-oriented chatbots or personal assistants, rely on an initial natural language understanding (NLU) module to determine the…

cs.CL2018

Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning

Vladimir Ilievski, Claudiu Musat, Andreea Hossmann +1

Goal-Oriented (GO) Dialogue Systems, colloquially known as goal oriented chatbots, help users achieve a predefined goal (e.g. book a movie ticket) within a closed domain. A first s…

cs.LG2018

GitGraph - Architecture Search Space Creation through Frequent Computational Subgraph Mining

Kamil Bennani-Smires, Claudiu Musat, Andreea Hossmann +1

The dramatic success of deep neural networks across multiple application areas often relies on experts painstakingly designing a network architecture specific to each task. To simp…