Ĭharcoal-burning in NJ apparently began with the establishment of the Tinton Falls Iron Works, or Shrewsbury Furnace, on the Shrewsbury River in Monmouth County. It is located on an island in Waterloo Lake – called Winakung and is open for school groups and other visitors. An Indian village has been re-created at Waterloo Village to help visualize the past. The Lenape culture flourished until the arrival of the first European fur traders visited Indian communities to barter metal pots, iron axes, scissors, cloth, glass beads and other items for the Indian’s animal furs and skins. They were hunting and raising crops, such as corn, beans and squash, in the area which has become New Jersey. The Leni Lenape (which means “original people”), an Algonkian speaking people, were one of most advanced and civilized tribes in the eastern US. The retreating glaciers left a fertile area in north Jersey teeming with wildlife that eventually became home to the first paleo Indians, beginning a native American history from the archaic period to the woodland culture of the Lenape or Delaware indians. for many years in the section of Roxbury adjacent to Wharton. This is the source of the sands which have been quarried by County Concrete Co. However, most of the glacial sediment in NJ was deposited during this last ice age. The Terminal Moraines of each of these events were in the general Wharton area. Ģ1,000 years BCE during the late Wisconsinan substage was the most recent glaciation of Northern NJ. ġ50,000 years BCE is the estimated time, during the Illinoian stage when an ice sheet again covered Northern NJ. Ĩ00,000 years BCE is the estimated time frame when the pre-Illinoian glacial deposits were deposited in Northern NJ. Ībout 66,000,000 years BCE dinosaurs were annihilated. The Dinosaur Train is a popular attraction for children on many tourist railways. The largest grew to 59 feet high and 130 feet long. They were the dominant terrestrial vertebrates for over 135 million years. Iron ore in the Dover district has been determined to be of volcanic origin of the late Pre-Cambrian age (550 to 600 million years Before Current Era - BCE) Ībout 230 million years BCE dinosaurs first appeared in NJ. *Including some items that are near, but outside Morris County borders. Also documented are the impacts of coal transport & use. The following work is presented to demonstrate and justify the desirability of a trolley / rail shuttle and a local museum in the Morris County area to present, memorialize and educate the public on the historic importance of turnpike, canal, railway, trolley, bus, and interstate transportation as well as the iron, lumber, charcoal, ice, explosives, munitions, rocket, and other industries plus lake, resort, excursion and amusement travel in the area over the years. Please send corrections and additions to Bill McKelvey at on LHRy website on 21 March 2018 This research has influenced, inspired and motivated a number of recent studies outwith the original competition, which we also summarise as part of this paper.Morris County Transportation & Industry Chronology ![]() Moreover, seq2seq models can be outperformed by hand-engineered systems in terms of overall quality, as well as complexity, length and diversity of outputs. However, vanilla seq2seq models often fail to correctly express a given meaning representation if they lack a strong semantic control mechanism applied during decoding. We find that seq2seq systems generally score high in terms of word-overlap metrics and human evaluations of naturalness – with the winning Slug system (Juraska et al., 2018) being seq2seq-based. Seq2seq-based systems have demonstrated a great potential for NLG in the challenge. Introducing novel automatic and human metrics, we compare 62 systems submitted by 17 institutions, covering a wide range of approaches, including machine learning architectures – with the majority implementing sequence-to-sequence models (seq2seq) – as well as systems based on grammatical rules and templates. This shared task aimed to assess whether recent end-to-end NLG systems can generate more complex output by learning from datasets containing higher lexical richness, syntactic complexity and diverse discourse phenomena. This paper provides a comprehensive analysis of the first shared task on End-to-End Natural Language Generation (NLG) and identifies avenues for future research based on the results.
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