Natural language processing is a powerful tool that can analyze a person's mental state from text they have written. Models have been developed that can predict whether a person is experiencing a mental health condition from social media posts with high accuracy. Yet, these models cannot explain why the person is experiencing a particular mental state. In this work, we present a new method for explaining a person's mental state from text using Monte Carlo tree search (MCTS). Our MCTS algorithm employs trained classification models to guide the search for key phrases that explain the writer's mental state in a concise, interpretable manner. Furthermore, our algorithm can find both explanations that depend on the particular context of the text (e.g., a recent breakup) and those that are context-independent. Using a dataset of Reddit posts that exhibit stress, we demonstrate the ability of our MCTS algorithm to identify interpretable explanations for a person's feeling of stress in both a context-dependent and context-independent manner.


Monte Carlo Tree Search for Interpreting Stress in Natural Language

**Organizers:** Bharathi Raja Chakravarthi, Bharathi B, John P. McCrae, Manel Zarrouk, Kalika Bali, Paul
Buitelaar
 **Description:** Equality, Diversity and Inclusion (EDI) is an important agenda across every field throughout the world. Language as a
major part of communication should be inclusive and treat everyone with equality. Today’s large internet community
uses language technology (LT) and has a direct impact on people across the globe. EDI is crucial to ensure everyone is
valued and included, so it is necessary to build LT that serves this purpose. Recent results have shown that big data and
deep learning are entrenching existing biases and that some algorithms are even naturally biased due to problems such
as ‘regression to the mode’. Our focus is on creating LT that will be more inclusive of gender, racial, sexual orientation,
persons with disability. The workshop will focus on creating speech and language technology to address EDI not only in
English, but also in less resourced languages.
 
**Please visit our [website](https://sites.google.com/view/lt-edi-2022/home)**

(LT-EDI) The Second Workshop on Language Technology for Equality, Diversity and Inclusion

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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Monte Carlo Tree Search for Interpreting Stress in Natural Language

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